Ever hear the Abbot and Costello routine, “Who’s on first?” It’s a masterpiece of American English humor. But what if it we translated it into another language? With a word-by-word translation, most of what English speakers laugh at, would be lost.
Today’s healthcare organizations are expected to be agile, reduce costs, and direct capital toward revenue generating activities that improve patient outcomes.
As the U.S. healthcare system continues to transition away from paper to more a digitized ecosystem, the ability to link all of an individual’s medical data together correctly becomes increasingly challenging.
The next time you see your physician, consider the times you fill in a paper form. It may seem trivial, but the information could be crucial to making a better diagnosis.
Today’s business data ecosystem is a network of customers and partners communicating continuously with each other. The traditional way to do this is by establishing a business-to-business (B2B) relationship.
Improving patient outcomes and reducing healthcare costs depends on healthcare providers such as doctors, nurses, and specialized clinician ability to access a wide range of data at the point of patient care in the form of health records, lab results, and protocols.
Precision medicine tailors a patient’s medical treatment by factoring in their genetic makeup and clinical data.
Healthcare organizations depend on data-driven decisions. To enable better decisions and better health outcomes, healthcare organizations are moving to the cloud. There, the latest advances in artificial intelligence, machine learning, and analytics can be more easily tested and implemented.
Pharmaceutical companies need to meet demanding sales goals, manage intricate regulatory compliance, and maintain a competitive hold on the market.
Healthcare is drowning in data. Every patient brings a record that could span decades, with x-rays, MRIs, and other data that can affect every decision.
